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Modeling Aggregation and Measurement Errors in ABC Systems

机译:ABC系统中的模拟聚合与测量误差

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1 Introduction The seminal papers by Labro/Vanhoucke (see [3] and [4]) made strong contributions to the analysis of errors in ABC systems by using simulation-based methods. We pick up their two-stage approach in modeling ABC systems as well as the implementation of measurement and aggregation errors and discuss the importance of sequence by which these errors are implemented on the magnitude of the overall cost distortion. As an extension to Labro/Vanhoucke we analyze different types of aggregation errors and discuss aspects of simultaneous implementation of aggregation and measurement errors. The existing literature identifies several cases with compensatory interaction effects. Addressing these effects our results show that some of theses effects are not the outcome of interaction among errors but caused by technical assumptions and restrictions. Furthermore, we give an overview of different ways of modeling errors and analyze the interaction between aggregation and measurement errors and their impact on cost distortion.
机译:1引言Labro / Vanhoucke(参见[3]和[4])通过使用基于模拟的方法对ABC系统的错误进行了强烈贡献。我们在模拟ABC系统以及测量和聚合误差的实施中拾取了两阶段方法,并讨论了这些误差在整体成本失真的幅度上实现了序列的重要性。作为Labro / Vanhoucke的扩展,我们分析了不同类型的聚合误差并讨论了同时实现聚合和测量误差的方面。现有文献识别具有补偿互动效应的几个案例。解决这些效果我们的结果表明,一些这些效果不是错误的互动结果,而是由技术假设和限制引起的。此外,我们概述了建模错误的不同方式,并分析聚集和测量误差之间的相互作用以及它们对成本失真的影响。

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